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Module Apprentissage Statistique, Optimisation et Applications - Option 2

Who

Anne Auger , Balázs Kégl , Michele Sebag

The Kaggle contest for bonus marks

rules


List of courses


28 novembre - Michèle Sebag

Introduction to Neural Networks
  1. A gentle introduction, https://class.coursera.org/neuralnets-2012-001/

5 decembre et 19 decembre - Anne Auger

Stochastic Optimization, Evolution Strategies, Part 1 et 2

12 decembre - Michele Sebag

Experimental course: students will read and prepare
Yoshua Bengio's 2012 tutorial on Deep Neural Nets
  1. Video presentations:
    1. 2009, Learning Deep Hierarchies of Representations
    2. 2009, Learning Deep Architectures

9 janvier - Anne Auger

Stochastic Optimization, Performance Assessment

16 janvier - Balazs Kegl

Ensemble learning, boosting (application vision)

23 janvier - Balazs Kegl

Reinforcement Learning - DAG

30 janvier - tbc.




Contributors to this page: auger , kegl and sebag .
Page last modified on Tuesday 12 of February, 2013 16:30:05 CET by auger.